Browsing by Author "Adeshina Steve A."

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    MACHINE INTELLIGENCE VS HUMAN INTELLIGENCE: CAN MACHINES OUTPERFORM HUMANS?
    (Nile University of Nigeria, 2024-10-17) Adeshina Steve A.
    Vice Chancellor Sir, It is with great pleasure that I welcome you to this inaugural lecture, where we will embark on a fascinating journey into the realm of intelligence—a concept that has captivated philosophers and scientists for centuries. Today, we stand at the intersection of human and machine intelligence, exploring how our understanding of cognition has paved the way for groundbreaking advancements in artificial intelligence. This lecture will begin by defining intelligence in both human and machine contexts, tracing its origins from cognitive psychology and neuroscience to the sophisticated algorithms that now drive modern AI systems. We will delve into how human traits such as adaptability, creativity, and emotional depth have inspired the development of brain-inspired AI, leading to machines that can learn and adapt in ways once thought impossible. As we delve deeper, our focus will shift to the evolution of both human and machine intelligence. We will examine the rapid advancements that have characterized recent developments in AI, including large language models and computer vision technologies. These innovations have not only transformed industries such as healthcare and transportation but have also introduced new possibilities for enhancing diagnostic precision and personalizing medical treatments. The discussion will highlight the significant strides made in replicating human visual capabilities through computer vision and how these technologies are being employed to address real-world challenges, from disease detection to autonomous vehicles. In concluding this lecture, we will explore the collaborative potential of human and machine intelligence. While machines excel in data processing and repetitive tasks, they still lack the creative and ethical dimensions of human cognition. The future lies in harnessing the strengths of both, fostering a synergy that combines human ingenuity with machine efficiency. This collaborative approach is exemplified by advances in generative AI and large language models, which are pushing the boundaries of what machines can achieve. As we reflect on these developments, we are invited to rethink our understanding of intelligence, creativity, and the transformative power of technology in shaping our future. Professor Steve A. Adeshina Professor of Computer Vision and Engineering Thursday, 17th October 2024